Data Engineer / Sr. Data Engineer

Background

Nikel is a financial technology company that enables small business lending in Southeast Asia. We combine deep expertise in alternative lending with best-in-class technology solutions to bridge international capital markets with underserved communities in Southeast Asia. Website: https://nikel.com/

Role

The Company is recruiting for the Data Engineer role to join our Data and Analytics team to help accelerate the Company’s innovation and data-driven strategy.

Designed as a career accelerator to foster the next generation of leading talent, our Company provides the framework to implement technical skills and execute a comprehensive understanding of data management in building financial services technology & analytics. You will work at all data engineer life cycle phases, including

• Build, test, and maintain a scalable and reliable data pipeline.
• Design database structure and its performance optimization.
• Build the data architecture for optimal extraction, transformation, and data loading from various sources.
• Assemble large & complex data sets to meet business demand.
• Research new frameworks / tools in the data engineering space to increase performance and capability..
• Involve in implementation of data integration in client-facing projects.

The ideal candidate will be:

• Ownership and Initiative: Proven ability to take ownership of projects, demonstrating initiative and responsibility. Reliable, committed to meeting deadlines, and adaptable to changing priorities.
• Curious and creative: You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find the answers. You are not afraid to share a new idea. You communicate clearly and effectively to share your findings with non-technical audiences.
• Technical: You have hands-on experience developing data engineering concepts using any tools and modern cloud computing platforms. You are not afraid of petabytes of data.
• Engineer-minded: Your creation will improve the analytics process, you know how to handle large-scale data. You have experience with data pipelining, data warehousing, and data governance.
• Customer and product-oriented: Ability to understand and prioritize client’s needs, align projects with customer expectations, and work towards delivering high-quality solutions.

Basic Qualifications

• Bachelor’s Degree and experience in Data Engineering / Data Warehousing.
• Experience in open-source programming languages, Python and SQL is a must.
• Experience with database schema design and data modelling
• Experience with various databases - Relational, NoSQL, TimeSeries, Graph, Columnar
• Ability to identify opportunities and act on them, both problem-solving skills and analytical skills.
• Knowledge of data collection, clean, and transform best practices.
• Experience in developing batch and real-time data pipelines.

Preferred Qualifications

• 3+ years of experience in Data Engineering.
• Experience with cloud computing services, such as GCP (e.g. Bigquery, Cloud Function, PubSub, Dataflow).
• Experience working with big data frameworks (e.g. Spark, Hadoop).
• Experience with orchestration tools (e.g. Ariflow).
• Experience with the streaming framework for CDC (e.g. Debezium) or message queue (e.g. Apache Kafka).
• Have a fundamental understanding of MLOps principles and ML engineering frameworks.
• Experience in financial technology services, payment fraud detection systems is a plus.
• Understanding of network configurations, including open ports, VPN, VPC, and tunneling.
• Experience in Data Management, including data quality, data governance, data security, etc is a plus.

Benefits

• Challenging role in a startup environment with strong growth ambitions
• Opportunities for professional growth and development.
• A dynamic and innovative work environment.
• Competitive compensation and benefits.

At Nikel, we are committed to diversity and equitable access to employment opportunities based on ability. Interested candidates can send their applications to [email protected]. We thank all applicants for their interest but will only contact candidates selected to advance in the hiring process.